{"id":"W2115749054","doi":"10.7202/017241ar","title":"La carrière criminelle : définition et prédiction","year":2005,"lang":"en","type":"article","venue":"Criminologie","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Centre for Comparative Criminology","funders":"","keywords":"Predictability; Diction; Criminology; Psychology; Variety (cybernetics); Degree (music); Sociology; Political science; Philosophy; Mathematics; Artificial intelligence; Computer science; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002662766,0.0007943056,0.000533671,0.003307779,0.0006187845,0.001708652,0.001177647,0.001257859,0.00262751],"category_scores_gemma":[0.01976014,0.0003247862,0.0004515469,0.001739613,0.001883796,0.001395894,0.001534512,0.002037175,0.0003875942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009276205,"about_ca_system_score_gemma":0.001604505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01518086,"about_ca_topic_score_gemma":0.004738651,"domain_scores_codex":[0.9988942,0.0005715827,0.00009707814,0.000117358,0.0001859305,0.000133946],"domain_scores_gemma":[0.9929334,0.003565588,0.002308134,0.0001879905,0.0005205878,0.0004843242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004176762,0.00009787214,0.9783064,0.00004832945,0.00003253827,0.0002242845,0.0001930669,0.0006682788,0.00004666292,0.003940955,0.0004810106,0.01591905],"study_design_scores_gemma":[0.00003815067,0.0003979017,0.931256,0.0006265398,0.0001931741,0.00631814,0.001847044,0.03751594,0.000453262,0.01678219,0.004515597,0.00005592821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718694,0.008224602,0.008557182,0.004201074,0.0001327741,0.0002173039,0.0006462842,0.0000629573,0.006088514],"genre_scores_gemma":[0.996252,0.001352613,0.001724431,0.00003750799,0.00006128768,0.00004515434,0.0002211145,0.000003955391,0.0003018579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01518086,"threshold_uncertainty_score":0.03018498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.514228745209487,"score_gpt":0.4936551299041217,"score_spread":0.02057361530536528,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}